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Encora

Product Data Scientist

Encora · Mexico

Posted 8 days ago

or apply directly on Encora's site. We never take the application ourselves.

Is this posting real?

This role has been open
8 days
Encora's roles stay open a median of 45 days
Reposted
No
Salary listed
No
1% of Encora's roles list one
Ghost-job risk at Encora
low
0 stale, 5 reposted of 212 open
Hiring momentum
390 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Encora's own greenhouse board since 2026-08-03. Full hiring picture for Encora.

About this role

The Product Data Scientist role at Coforge involves partnering closely with Product Managers to analyze and interpret data related to the Home Improvement lending product. Day-to-day tasks include designing and running experiments, building and maintaining data pipelines, developing statistical and machine learning models, and communicating findings to drive product decisions. This position requires a strong foundation in statistics and data science, as well as the ability to translate complex data into actionable insights.

Our read on this posting3.0out of 5
benefits
1/5
freshness
5/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Encora as an employer.

What you need

  • 6+ years of experience in a hybrid analytics/data science role
  • Bachelor’s degree or higher in a quantitative field or equivalent experience
  • Strong grounding in statistics and experimentation
  • Fluency in SQL and at least one scripting/statistical language (Python or R)
  • Comfortable with data engineering fundamentals
  • Ability to develop, validate, and communicate statistical and machine learning models

Nice to have

  • Background in fintech, consumer lending, or home improvement/contractor financing
  • Experience with CDP platforms or event instrumentation tooling
  • Hands-on experience with credit or risk modeling
  • Experience with dbt, Airflow, or similar data pipeline/orchestration tools
  • Prior experience embedded with product teams in an agile/scrum environment

Worth weighing

  • Onsite work mode may limit remote work flexibility
  • Role involves high-stakes decision-making which may come with pressure
  • Focus on product analytics and experimentation may not appeal to those seeking purely data engineering roles

Summarised from Encora's posting. Read the full original.

Listed by Encora on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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